基于粗糙熵和目标威胁等级的多传感器管理方法

随着现代化武器平台的快速发展,多传感器管理在信息融合系统中所占据的地位越来越重要,因此,需要对有限的传感器资源进行科学合理的管理,提高防空作战能力.针对多传感器资源管理优化问题,分析了粗糙熵的定义,提出了基于粗糙熵和目标威胁等级的多传感器管理方法.该方法通过计算传感器对目标的粗糙熵,获得每个传感器对每个目标最大的信息增益,以此作为代价函数,考虑目标的威胁等级,利用线性规划思想进行多传感器对多目标的优化分配,实例分析表明了该方法的有效性.

The Method of Multi-sensor Management Based on Rough Entropy and Target Threat Degree

With the development of modern weapon platform, the position of multi-sensor management is becoming more and more important in the information fusion system. In the air defense warfare under information-based condition, establishing Air-Ground air defense situation awareness network is a technical assurance to capture informational preponderance, meanwhile realizing scientific and reasonable allocation of sensors resource is an important method to improve the gathering efficiency of air defense network. We have to manage the limited sensors resource scientifically and reasonably so as to improve air defense warfare effectiveness. The optimization model based on information gain and target threat degree is proposed for multi-sensor management. This model, through calculating rough entropy of the sensor to the goal, obtains the greatest information content of each sensor to each goal. By taking this as a price function and in view of target threat degree, the optimized assignment of the multi-sensors to the multi-goals is done by using linear programming, the simulation result indicates that this model is effective and reasonable.